Okay, so in this chapter we will be talking more about the, the SDK studio essentials. So in the previous chapter, we talked about the SDK engine. Then we talked about the SDK script writer. So now we talk about is the SDK studio. So the SDK studio provides a more user friendly UI for the user. So in the SDK studio, user to not need to, right.

Yeah, on the SDK script, the SDK studio will generate a script for the user and the SDK studio, the gi c gi bill it SPSS Statistics. And, yeah, the SDK studio and the the SDK tests Bora is actually not free. He requires a small payment of around 89 USD to help us and support us in the development. Okay. Yeah, so let's start with the SDK studio. Okay.

The SDK studio is actually inside the, the SDK tree tree also. So this is the SDK studio. Okay, so you only have nine times smaller to use the software. Okay, so this is the SDKs. To do. So.

Do D SDK studio. is like the SDK. If we need to set up the settings, so we go to the settings, there is already the SDK. Okay, drive the SDK tree engine. And then we can select the SDK, right also. So dg ID SDK tree, the SDK script writer.

You can select your own spreadsheet application here. So you can see laddie, Microsoft Excel You can select our studio. Yes See here also you can select your model a model can be rapid miner you can select here K model is for the MADI predictive analytics so especially if you can select Microsoft Excel or you can select some other open source one Laney Jr, Mary if I'm not wrong, okay, so after setting the setting palms, we click OK and restart the SDK studio. Okay, so for these are the SDK studio I will be going through quite fast, because I is like the what, what we will be doing with the SDK studio is like the the SDK script writer. But the SDK screenwriter need to write the script encodes the SDK studio do not need to write any code. So these are the SDK studio essentials.

I will quickly run through the same thing we doing the SDK script writer. Okay, I just want to show is that the the SDK studio do not need to write any code and can accomplish the same task. Okay, so in the SDK studio, crea File, Open Bow open D dry select a cm e dot CSV good and open. Okay, Dara salada has filled in coats and preview. Good I agree. Okay.

I see the ACM EDID is being important to the SDK studio. So is more clearer here is more easy to see and more easy to do some of the analysis and you can say it's more faster so He SDK studio we will need to change the variable type. So by clicking on the variable tab, so I double CRI Bogdanovic verbose and I select a variable. I want to change the variable type. So I changed the numeric for Maccabee rubber. I changed to change acgme to numeric.

Okay. Go back to that data. Okay, so now i in the first stage, the SDK screenwriter, I do the understanding of the dice provision. So now I'm going to show how we can use these, the SDK studio to do the data. distending stitch okay. So after I import the data, I changed the robot type.

So now I can go and as raw as the expiration and go ahead and click on the descriptive Okay. Now select Mark available for you here. Click ok. See everything is generated automatically in normal writing up any script any cost, okay. So this is descriptive. I can go and do the upper window. So this is the result.

So I can say this lady copy and paste select Copy the result and then paste it into notepad okay okay so I can basically like this okay so the nice one I am going to show you is using this routine. So I can also select veterans population and I guess pool IDs. I need a shoulder veterans population broad descriptive kurtosis schooners maybe kurtosis okay and then I can go categorical doing chi square Guna Safi or Chai square independence frequency table. Compare Means T has one sample t test two sample t test two sample covariance two t test two sample covariance okay so I compare between these two so you'll see the script is automatically generated. Okay. And regressions correlation okay covariance correlation Okay correlation the regression simple linear regression so my x my y okay so anything you want to share you can do a script do so okay so the first Pharaoh boys asked as he put in the second everybody's why if you want to change you can change the sequence how we how we know is correct you can do as a script generator here okay and then as draw the arrows okay Equal variance and covariance.

Okay, so these are the standard standard error okay and you can select a statistic here are these one is your credit issue we'll be going to the US our studio you set here as today is here, okay? He should have been he Okay, that means I don't have a nice location okay. So you can put in your own studio location and then click on here to open up and then you can put in your own spreadsheet here. Let's say Microsoft Excel and you click on here and you open Microsoft Excel okay and you can also open the script writer here okay and then finally we do the ah charting data visualization okay. So scatter plot is one market a CME is a market is an A CME and okay okay then close he can open opened a shop for us Okay, so she as a prop as Prada, ciao.

So two new Mary Mackey. I can select a bar chart pie chart or the boss bra maybe this market in Tennessee Okay, so I have a really clear here so you should be somewhere here. Okay then okay squad Charles oh okay that's a histogram 10 beings see me? Try so this is a histogram 10 beings 123456789 level robbery there okay Okay so we that we have done the data understanding stage okay. So we done the data understanding stage okay we have done the data understanding stage okay that is provision data understanding. Now we look at a data preparation station Oh okay.

So you can prepare the data redone transform normalized underscore normalize feature scaling remove missing, feature selection and stretch the reverse you can transform in your Microsoft Excel This one is in the settings here, spreadsheet app okay okay so I want to normalize the data using lighthouse now using standard score. So I click on this one up here new variable name I will mark a mark a normalized query okay okay. It automatically load loaded data because of this re loading on new data. So you may have to change the data time again So, the next one I want normalizes a CME so I changed it back to numeric. Yeah, prepare normalize a CME so AC me normalize okay that way okay okay so it comes out to the market normalize a semi normalized Robo column okay so you can do other live remote Missy features such as trivia or both.

So I'm going to ask Tony these two okay that way okay? Yeah yeah automatically yesterday so no more Kody Dumas doing why body coating on a number row counting on the number of color coding the color number contender, low number No, the SDK studio generate audit script automatically for you. And the interfaces are easy to use. Okay. Okay even though at the output window Okay, so these are the commands we use to straight up variables so that the variables okay okay, we've completed the data preparation and the data understanding stage. Okay.

Okay the understanding finish the data preparation finish already. This one will be modeling evaluation and deployment. Okay. So you can see how easy is to use the SDK studio to do all the money. Okay. So now I'm going to go to do the modeling.

So malda data classification training, ACM a see me train at a meeting. Then a test for the acgme which one has the labors a CKC matrix predict a CME chain test to me check a computer the dye so a CE test tool okay ACM it has to have a class variable ACM test pool okay I select neural network okay why bear oh boy is two okay this one is same as column number two perceptron 10 iteration 100 learning rate 0.01 really evaluate 10 Click OK Okay. So the sum of squared error is around one. So, then I went to predict predict means more or less the deployment or you can say some same order okay a CME chain a si mi chain and a CME test this one we thought class rubber and a neural network again column number is two and then predict okay ready is automatically generated.

Okay so I opened this one is no pet prosper they say the acgme trained us CSV change. So let's see the result. Okay. Okay, so we have used the SDK studio to completely DS data mining process is Christy mo de dooda. dandy understanding the data preparation, modeling with neural network model evaluation with the neural network and then prediction of the data set. So you can see the SDK studio provide a much faster and easier way to do the data mining is more easier to use than the DS Case good writer, gay faster and easier to view the data set or the script or generate automatically no more codings no more writing off script.

Okay. Yeah, so DC, Rafi D and all the the SDK studio essential. Okay is in conclusion In conclusion, we have completed all four of our we completed a DST is video settings completed understanding using the SDKs to do it preparation using the SDK to do modeling and evaluation using SDK studio. So the SDK is to the offer better, more easy to use as the interface to the SDK engine. As compared to the SDK script writer, the SDK screenwriter and the SDK engine are free however, the SDK studio and SS for a small fee of 89 USD to support our support the development of the software. Okay, so in this chapter, we will look into the the SDK test Explorer.

So, the SDK test SS Paulo will be more for that's my ni n. That's analysis more for the SD desta data. Okay, so I developed these, the SDK is to do the SDK tests as for the SDK tree So to proceed further, I mean, yeah, I mean, it's some of your sub point development. Okay. Yeah, because a lot less now is developing the software by myself. So yeah, in the website audit, as I say we buy data stored and normally people say it on the writing on the website, say on the website. Okay, so I'm actually the only developer for the software currently.

So I also need support. Okay. Okay.